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End of training

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7084
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- - Accuracy: 0.6574
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  ## Model description
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@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7936 | 1.0 | 115 | 0.7396 | 0.6667 |
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- | 0.5753 | 2.0 | 230 | 0.7084 | 0.6574 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7116
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+ - Accuracy: 0.6914
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.809 | 1.0 | 115 | 0.7168 | 0.6852 |
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+ | 0.6101 | 2.0 | 230 | 0.7116 | 0.6914 |
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  ### Framework versions